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Clinical Knowledge Extraction via Sparse Embedding Regression (KESER) with Multi-Center Large Scale Electronic Health Record Data

2021-03-13

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> The increasing availability of Electronic Health Record (EHR) systems has created enormous potential for translational research. Even with a working knowledge of EHR, it is difficult to know all the relevant codes related to a phenotype due to the large number of codes available. Traditional data mining approaches often require the use of patient-level data, which hinders the a...

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Literature Corpus work
b329425d-18fa-5b9b-b9f3-b5388faeb6bb
DOI
10.1101/2021.03.13.21253486
Open publication

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Clinical Knowledge Extraction via Sparse Embedding Regression (KESER) with Multi-Center Large Scale Electronic Health Record DataDOI 10.1101/2021.03.13.21253486
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